scholarly journals Privacy Concerns in a Remote Monitoring and Social Networking Platform for Assisted Living

Author(s):  
Peter Rothenpieler ◽  
Claudia Becker ◽  
Stefan Fischer
2015 ◽  
Vol 8 (1) ◽  
Author(s):  
Himanshu Rajput

Social networking sites (SNSs) have become popular in India with the proliferation of Internet. SNSs have gained the interests of academicians and researchers. The current study is an endeavor to understand the continuance of social networking sites in India. The study applies an extended version of theory of planned behavior. Additional factors privacy concerns and habits were incorporated into the standard theory of planned behaviour. A survey was conducted in a Central University in India. Overall, data was collected from 150 respondents. PLS-SEM was used to test the proposed model. All the hypotheses except the moderating role of habits between intentions and continued use of social networking sites, were supported by the results. Habits were found to affect continued use of social networking sites indirectly through continued intentions.


Author(s):  
Laura Aymerich-Franch

This chapter analyses privacy concerns of students and faculty resulting from the adoption of social media as teaching resources in higher education. In addition, the chapter focuses on privacy concerns that social media can cause to faculty when they are used for social networking. A trans-cultural study was carried out which involved three Spanish universities, a Colombian university, and an American university. A focus group was organized with PhD students to brainstorm the topic. Afterwards, 94 undergraduate students completed a survey and 18 lecturers participated in a written interview. Results indicate that social media are widely adopted in the university and are perceived as valuable resources for teaching. However, privacy concerns can easily emerge among students and faculty when these applications are used for this purpose. Concerns may appear when social media are used for social networking as well. The text also offers some guidelines to overcome them.


Author(s):  
Kenneth C. C. Yang ◽  
Yowei Kang

Since its introduction in the early 21st century, mobile social media have played an indispensable part in contemporary human experiences. The convergence of social networking and mobile technologies and services creates a fascinating circumstance because the pervasive nature of mobile social networking technologies has impacted on users' privacy. The chapter employed a mixed research method to collect and analyze mobile social media users' experiences and privacy concerns in the age of Big Data. A total of 57 participants were included in this study. Collected data was analyzed by examining mobile social media users' experiences and their concerns over privacy. Findings from this study showed the rising concerns over personal privacy as a result of convergence of mobile social media and Big Data practices by the advertising industry. Theoretical and practical implications were discussed.


2019 ◽  
Vol 27 (4) ◽  
pp. 119-146
Author(s):  
Tomayess Issa ◽  
Sulaiman Alqahtani ◽  
Theodora Issa ◽  
Noorminshah A. Iahad ◽  
Peldon Peldon ◽  
...  

Social networking (SN) technology has been presented to human beings as a means of communicating, collaborating, connecting, and cooperating to exchange knowledge, skills, news, chat, and to maintain contact with peers world-wide. This article examines SN awareness in the Asia-Pacific (AP) education sector (ES) with a specific focus on the advantages and disadvantages of SN; and investigated whether AP culture influences SN adoption by the ES. An online survey was distributed to 1014 AP students and a total of 826 students responded. Several new advantages of adoption emerged from the data analysis. SN enabled students to accomplish their study tasks more quickly; it allowed them to communicate and collaborate with peers world-wide; and it fostered sustainability. The disadvantages perceived by students include depression, loneliness, and distraction, lack of interest in pursuing traditional activities, and security and privacy concerns. Finally, culture does influence SN adoption by ES institutions in AP countries.


Author(s):  
Lik Sam Chan ◽  
Hing Weng Eric Tsang

This article considers the phenomenon of online body display by users of social networking sites in Hong Kong. A survey of 392 young adults was conducted to investigate the relationships between narcissism, grandiose exhibitionism, body image satisfaction, perceived privacy risks, and online body display. A Body Display Index was developed to measure the perceived level of sexual explicitness of photographs shared by Facebook users. Grandiose exhibitionism, a sub-trait of narcissism, was found to be a stronger predictor of online body display than narcissism. The relationship between body image satisfaction and online body display was not significant, and no relationship was found between such displays and perceived privacy risks, thus implying a lack of social media-related privacy concerns among the respondents.


Author(s):  
Haiyan Jia ◽  
Heng Xu

With the rise of social networking sites (SNSs), individuals not only disclose personal information but also share private information concerning others online. While shared information is co-constructed by self and others, personal and collective privacy boundaries become blurred. Thus there is an increasing concern over information privacy beyond the individual perspective. However, limited research has empirically examined if individuals are concerned about privacy loss not only of their own but their social ties’; nor is there an established instrument for measuring the collective aspect of individuals’ privacy concerns. In order to address this gap in existing literature, we propose a conceptual framework of individuals’ collective privacy concerns in the context of SNSs. Drawing on the Communication Privacy Management (CPM) theory (Petronio, 2002), we suggest three dimensions of collective privacy concerns, namely, collective information access, control and diffusion. This is followed by the development and empirical validation of a preliminary scale of SNS collective privacy concerns (SNSCPC). Structural model analyses confirm the three-dimensional conceptualization of SNSCPC and reveal antecedents of SNS users’ concerns over violations of the collective privacy boundaries. This paper serves as a starting point for theorizing privacy as a collective notion and for understanding online information disclosure as a result of social interaction and group influence.


2019 ◽  
Author(s):  
◽  
Douglas Steiert

In this day and age with the prevalence of smartphones, networking has evolved in an intricate and complex way. With the help of a technology-driven society, the term "social networking" was created and came to mean using media platforms such as Myspace, Facebook, and Twitter to connect and interact with friends, family, or even complete strangers. Websites are created and put online each day, with many of them possessing hidden threats that the average person does not think about. A key feature that was created for vast amount of utility was the use of location-based services, where many websites inform their users that the website will be using the users' locations to enhance the functionality. However, still far too many websites do not inform their users that they may be tracked, or to what degree. In a similar juxtaposed scenario, the evolution of these social networks has allowed countless people to share photos with others online. While this seems harmless at face-value, there may be times in which people share photos of friends or other non-consenting individuals who do not want that picture viewable to anyone at the photo owner's control. There exists a lack of privacy controls for users to precisely de fine how they wish websites to use their location information, and for how others may share images of them online. This dissertation introduces two models that help mitigate these privacy concerns for social network users. MoveWithMe is an Android and iOS application which creates decoys that move locations along with the user in a consistent and semantically secure way. REMIND is the second model that performs rich probability calculations to determine which friends in a social network may pose a risk for privacy breaches when sharing images. Both models have undergone extensive testing to demonstrate their effectiveness and efficiency.


Two Homelands ◽  
2020 ◽  
Author(s):  
Damjan Fujs ◽  
Simon Vrhovec

The authors conducted a survey of online groups on Facebook (N = 270) and a survey of Slovenian migrants (N = 629) to gain insight into the use of social networking services (SNSs) during different phases of the migration process. SNSs can help migrants establish new relationships with migrants in the destination country, which may help them to cope with periods of loneliness in the post-migrant phase. Online groups are an important source of information on the destination, aiding informed decision-making in the pre-migrant phase. Migrants in the post-migrant phase may have lower privacy concerns and perceive higher regulatory protection of their privacy than in the settled phase.


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